7.3%
incremental orders in geo test markets
Propensity Modelling
View Case Study
7.3%
incremental orders in geo test markets
Propensity Modelling
View Case Study
50%
more acquisitions
Propensity Modelling
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2X
total ROI
Propensity Modelling
View Case Study
39%
lift in search demand
Propensity Modelling
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40%
organic search gain
Propensity Modelling
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170+
sources records audited
Propensity Modelling
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1
Week period-end revenue
Propensity Modelling
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13X
ROI
Propensity Modelling
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51.78%
more transactions
Propensity Modelling
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111%
CTR growth
Propensity Modelling
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3.13%
Order Conversion
Propensity Modelling
View Case Study
11M
Impressions
Propensity Modelling
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10
launches live at once across the floor
Propensity Modelling
View Case Study
15%
increase in CTR and VTR
Propensity Modelling
View Case Study
2X
Increase in trial volume
Propensity Modelling
View Case Study
17%
Organic Growth
Propensity Modelling
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86%
ROAS uplift on CTV
Propensity Modelling
View Case Study
2.4X
higher additional purchases
Propensity Modelling
View Case Study
8%
above-benchmark click-through rate
Propensity Modelling
View Case Study
1.6X
above-benchmark CTR
Propensity Modelling
View Case Study
24.4%
Higher spend from best- vs.worst-experience customers
Propensity Modelling
View Case Study
2X
Same measure among other long-standing core shoppers
Propensity Modelling
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20%
Channels unified: web, call centre, stores
Propensity Modelling
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450%
franchise-level return on ad spend
Propensity Modelling
View Case Study
20%
growth in loyalty programme membership
Propensity Modelling
View Case Study
420%
increase in units sold
Propensity Modelling
View Case Study
5.8X
net ROI
Propensity Modelling
View Case Study
3
AI generated fragrances became prototypes
Propensity Modelling
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35%
higher ad engagement
Propensity Modelling
View Case Study
The AI Marketing Maturity Study 2026, conducted by MMA in collaboration with EY as Knowledge Partner, and Powered by Mobavenue, benchmarks where brands and marketers stand across Creative & Content, Measurement & Insights, Media & Personalisation, Propensity Modelling, Dashboards, and Customer & Sales Journeys.
Foundational training series that gets marketers hands-on with Generative AI, explaining how different systems work and their strengths and weaknesses using real-life examples and practical exercises. The training is based on the MIT Press book, The AI Conundrum, authored by Rex Briggs & Caleb Briggs, presenters of the training.
AI Creative Effectiveness (ACE) uses artificial intelligence to analyze creative performance patterns and provide pre-launch scoring and recommendations. By learning from your past campaigns, ACE extracts brand-specific success drivers and applies them to new assets—checking brand/platform compliance, predicting performance, and suggesting edits before you go live. This pre-optimization approach helps teams prioritize high-potential assets and fix issues early, reducing costly revisions and improving campaign outcomes.
The Agentic AI Advertising (A³) Lab is a collaboration between MMA's AI Leadership Think Tank and Monks to assess the creative and commercial impact of video advertisements fully produced by agentic AI. As the advertising industry evolves from generative to agentic AI, this initiative provides insights into practical capabilities, true impact on effectiveness, and the evolution of workflows, tools, and processes. A³ represents shared learning to future-proof the marketing industry.
Marketing + Media Alliance (MMA) created the Consortium for AI Personalization (CAP) in 2022 with the desire to test whether AI Personalization technology can create omnichannel experiences that outperform the ads and communications customers and prospects get today by a large enough margin to justify any additional costs associated with the technology.
Fans aren't just watching IPL 2026, they're asking AI about it. In Partnership with OptimizeGEO, MMA India presents the IPL 2026 AI Brand Visibility Tracker: the first-of-its-kind study decoding how India's top brands show up across ChatGPT, Gemini, Perplexity, and Google AI Overview — tracked daily, from March 28 through the end of the season.
Discovery is moving from search results to AI answers. When buyers ask ChatGPT, Gemini, or Perplexity, the brands the model names win the consideration set, and the pages it cites are often not the ones that rank in search. Most brands can’t see whether they show up, or change it. GASP is a new MMA research lab that helps brands measure their visibility in AI answers and prove what actually moves it, quantifying how much is in their control.
AI Uncovering Responsive Audiences (AURA) is a breakthrough AI-first audience discovery and optimization program. Using advanced pattern recognition across behavioral, demographic, and transactional data, AURA continuously identifies and upweights high-response micro-segments that traditional targeting methods miss. Early pilots demonstrate an average 22% lift with no creative changes and minimal workflow impact—just split your audience lines and let AI optimize weekly.
The Marketing AI Implementation Checklist is a comprehensive guide for responsibly integrating AI into marketing strategies. It covers 13 key areas, from leadership vision to continuous improvement, providing actionable steps for each stage of AI adoption.
Delve into a dynamic report decoding the transformative influence of AI across marketing's four key pillars. Leading AI revolutionaries and decision-makers from brands, agencies, and tech sectors have penned groundbreaking AI strategies and real-world applications in this 4th edition of MMA Global India & GroupM's Modern Marketing Reckoner: Winning With AI.
The year 2024 has seen remarkable technological advancements in marketing, with Generative AI (Gen AI) emerging as a game-changer. In an increasingly competitive landscape, marketers are leveraging AI to streamline daily tasks and enhance productivity. This whitepaper, ‘Driving Gen AI Discovery & Adoption: Top 10 Gen AI FAQs - Answered!,’ provides critical insights and practical guidance for marketers on their AI adoption journey.